Triple

T13264582
Position Surface form Disambiguated ID Type / Status
Subject Abdullah bin Zayed Al Nahyan E315884 entity
Predicate givenName P17 FINISHED
Object Abdullah E112184 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Abdullah | Statement: [Abdullah bin Zayed Al Nahyan, givenName, Abdullah]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Abdullah
Context triple: [Abdullah bin Zayed Al Nahyan, givenName, Abdullah]
  • A. Abdullah chosen
    Abdullah is a common Arabic male given name, notably borne by King Abdullah II of Jordan.
  • B. Ahmad
    Ahmad is the narrator of the film "Soul Food," providing the story’s perspective and emotional throughline.
  • C. Ahmad
    Ahmad is the deposed king and heroic protagonist in the 1940 fantasy film "The Thief of Bagdad."
  • D. Aḥmad
    Aḥmad is the given name of the renowned Egyptian Sufi master and Maliki jurist Ibn ‘Ata’ Allah al-Iskandari, a key figure in the Shadhili order.
  • E. Qasim
    Qasim is a central character in Naguib Mahfouz’s novel "Children of Gebelawi," representing a modern, socially conscious figure modeled on the Prophet Muhammad within the book’s allegorical retelling of religious history.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d806b1d9ac8190852c5571d5bd5f0f completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d9901c65048190bd8b3c4872f22520 completed April 11, 2026, 12:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69f716cac5388190a839ec1dbdcdbf82 completed May 3, 2026, 9:35 a.m.
Created at: April 9, 2026, 9:25 p.m.